Estimation of rider’s shifting intention for electric bike adoption: An integrated choice and latent variable approach

This study aims to investigate the rider’s mode shifting intention from motorized two-wheeler (TW or Bike) to electric bicycle (EB) using the Integrated Choice and Latent Variable model (ICLV) through the structural equation model (SEM) framework. For this purpose, rider’s socio-demographic characteristics, travel characteristics, and psychological mind-sets such as comfort, convenience, safety, flexibility, and health are collected from four different states in India. Initially, the Kruskal-Wallis-H test performed to identify the influence of socio-demographic characteristics on rider’s shifting intentions to EB adoption. Further, the ICLV model through SEM framework was conducted and evaluated with the different fit indices. ICLV Model regressed the total effects (direct and indirect) of the rider’s shifting intention for EB adoption. The results indicated that expenditure, existing mode, distance traveled, convenience, safety, flexibility, and health firmly explain the rider’s shifting intention for EB adoption. Also, model results demonstrated the underlying indirect effects of socio-demographic characteristics toward psychological constructs.

• Record URL:
  https://doi.org/10.1080/19427867.2021.2000815
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/19427867
• Supplemental Notes:
  • © 2021 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Venkadavarahan, Marimuthu
  • Marisamynathan, Sankaran
• Publication Date: 2022-11

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1151-1161
• Serial:
  • Transportation Letters: The International Journal of Transportation Research
  • Volume: 14
  • Issue Number: 10
  • Publisher: Taylor & Francis
  • ISSN: 1942-7867
  • EISSN: 1942-7875
  • Serial URL: http://www.tandfonline.com/toc/ytrl20/current

Subject/Index Terms

• TRT Terms: Attitudes; Bicycles; Demographics; Electric vehicles; Modal shift; Psychological aspects; Social factors
• Geographic Terms: India
• Subject Areas: Highways; Pedestrians and Bicyclists; Planning and Forecasting;

Filing Info

• Accession Number: 01863836
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 16 2022 11:36AM